{"id":239,"date":"2014-02-18T01:45:21","date_gmt":"2014-02-18T01:45:21","guid":{"rendered":"http:\/\/kktg.net\/sgr\/?page_id=239"},"modified":"2014-04-28T20:03:37","modified_gmt":"2014-04-29T01:03:37","slug":"full-contents","status":"publish","type":"page","link":"https:\/\/kktg.net\/sgr\/sgr-about\/full-contents\/","title":{"rendered":"Full Table of Contents"},"content":{"rendered":"

A Survivor’s Guide to R<\/h1>\n

The Author<\/p>\n

Preface<\/p>\n

Acknowledgements<\/p>\n

Summary Table of Contents<\/p>\n

Full Table of Contents<\/p>\n

Tables<\/p>\n

Figures<\/p>\n

Chapter 1 Getting started<\/h2>\n

1.1 Things your statistics class probably won’t teach you
\n1.2 Why R?
\n1.3 Statistical modeling
\n1.4 A few R basics
\n1.4a Running R and inputting commands
\n1.4b Comments
\n1.4c Command conventions
\n1.4d Parentheses ( ), brackets [ ], braces { }
\n1.4e Comparison operators
\n1.5 Saving your work
\n1.6 R packages
\n1.7 Help with R help
\n1.7a Help with R packages
\n1.7b Error messages
\n1.7c Help from the R community
\n1.8 Organization of this book<\/p>\n

Chapter 2 A sample session<\/h2>\n

2.1 Reviewing your data
\n2.2 Data visualization
\n2.3 Hypothesis testing
\n2.4 A regression model
\n2.5 A nonlinear model<\/p>\n

Chapter 3 Object types in R<\/h2>\n

3.1 R objects and their names
\n3.2 How to think about data objects in R
\n3.3 R object storage modes
\n3.3a The character storage mode
\n3.3b The numeric storage modes
\n3.3c The logical storage mode
\n3.4 R data object types
\n3.5 The basic data objects: Vectors
\n3.5a Vector indices
\n3.5b Vector operations
\n3.6 The basic data objects: Matrices and their indices
\n3.7 The basic data objects: Data frames
\n3.7a Referencing data frame elements
\n3.7b Displaying the contents of a data frame
\n3.8 The basic data objects: Lists
\n3.9 A few things about working with objects
\n3.10 Object attributes
\n3.11 Objects and environments
\n3.12 R object classes
\n3.13 The pseudo storage modes
\n3.14 Date and time as a storage modes
\n3.15 Factors
\n3.16 Coercing storage modes
\n3.17 The curse of number-character-factor confusion
\n3.18 Conclusions<\/p>\n

Chapter 4 Getting your data into R<\/h2>\n

4.1 Entering data
\n4.1a Entering data with the concatenate functions
\n4.1b Joining vectors intro matrices and data frames
\n4.1c Entering data with the R spreadsheet
\n4.2 Creating data
\n4.2a Simple sequences and repetitions
\n4.2b Generating factors
\n4.2c Random numbers and statistical distributions
\n4.3 Importing data
\n4.3a Working with the working directory
\n4.4 The read command: Overview
\n4.5 The read command: Reading from the clipboard
\n4.6 The read command: Blank delimited tables
\n4.7 The read command: Comma separated values
\n4.8 The read command: Tab separated data
\n4.9 The read command: Fixed-width data
\n4.10 Importing foreign file types
\n4.10a Exporting data in foreign formats
\n4.11 Integrating SQL with R
\n4.12 Extracting data from complex data sources
\n4.13 Web scraping
\n4.14 Dealing with multi-dimensional data
\n4.15 Importing problematic characters
\n4.16 More resources<\/p>\n

Chapter 5 Reviewing and summarizing data<\/h2>\n

5.1 Summary functions
\n5.2 Checking a sample of your data
\n5.3 Reviewing data by categories
\n5.4 Displaying data with a histogram
\n5.5 Displaying data with a scatter plot
\n5.6 Scatter plot matrices<\/p>\n

Chapter 5 Appendix In case of exasperation, read this!<\/h2>\n

A .1 The big things
\nA .2 The little things<\/p>\n

Chapter 6 Sorting and selecting data<\/h2>\n

6.1 Using index values to select data
\n6.2 Using conditional values for selecting
\n6.3 Using subset( ) with variable or row names to select data
\n6.4 Splitting a dataset into groups
\n6.5 Splitting up continuous numeric data
\n6.6 Sorting and ordering data
\n6.6a Sorting a variable
\n6.6b Ordering a data frame<\/p>\n

Chapter 7 Transforming data<\/h2>\n

7.1 Creating new variables
\n7.2 Editing data
\n7.3 Basic math with R
\n7.4 R functions
\n7.5 Math and logical functions in R
\n7.6 Truncation and rounding functions
\n7.7 The apply( ) family of functions
\n7.8 Changing variable values conditionally
\n7.9 Creating new functions
\n7.10 Additional R programming
\n7.10a Loops
\n7.10b If( ){ } else{ }
\n7.11 Character strings as program elements and program elements as character strings
\n7.11a Dynamic object names
\n7.11b Dynamic R code<\/p>\n

Chapter 8 Text operations<\/h2>\n

8.1 Some useful text functions
\n8.2 Finding things
\n8.3 Regular expressions
\n8.3a Location operators
\n8.3b The repetition operators
\n8.3c Other pattern operators
\n8.3d A wisdom of Perl
\n8.4 Processing raw text data
\n8.5 Scraping the web for fun and profit<\/p>\n

Chapter 9 Working with date and time data<\/h2>\n

9.1 Dates in R
\n9.2 Formatting dates for R
\n9.3 Working with POSIX dates
\n9.4 Special date operations
\n9.5 Formatting dates for output
\n9.6 Time series data
\n9.7 Creating moving averages in time-series data
\n9.8 Lagged variables in time-series data
\n9.9 Differencing variables in time-series data
\n9.10 The limitations of ts data<\/p>\n

Chapter 10 Data merging and aggregation<\/h2>\n

10.1 Dataset concatenation
\n10.1a Adding new variables: Column concatenation
\n10.1b Adding new observations: Row concatenation
\n10.2 Match merging
\n10.3 Keyed table look-up merging
\n10.4 Aggregating data
\n10.5 Transposing and rotating datasets<\/p>\n

Chapter 11 Dealing with missing data<\/h2>\n

11.1 Reading data with missing values
\n11.2 Summarizing missing values
\n11.3 The missing values functions
\n11.4 Recoding missing values
\n11.5 Missing values and regression modeling
\n11.6 Visualizing missing data<\/p>\n

Chapter 12 R graphics I: The built-in plots<\/h2>\n

12.1 Scatter plots
\n12.2 Pairs plots
\n12.3 Line plots
\n12.4 Box plots
\n12.5 Histograms, density plots, and bar charts
\n12.6 Dot charts
\n12.7 Pie charts
\n12.8 Mosaic plots
\n12.9 Conclusions<\/p>\n

Chapter 13 R graphics II: The boring stuff<\/h2>\n

13.1 The graphics device
\n13.1a Screen-based devices
\n13.1b Raster\/bitmap devices
\n13.1c Vector-based devices
\n13.2 Graphics parameters
\n13.3 The plot layout
\n13.4 Graphic coordinates in R
\n13.5 Overlaying plots
\n13.6 Multiple plots
\n13.7 Conclusions<\/p>\n

Chapter 14 R graphics III: The fun stuff–Text<\/h2>\n

14.1 Adding text
\n14.2 Setting up a font
\n14.2a The built-in fonts
\n14.2b The font-mapping approach
\n14.2c The Rdevga approach to font mapping
\n14.2d Font size and rotation
\n14.3 Titles and subtitles
\n14.4 Creating a legend
\n14.5 Simple axes and axis labels
\n14.6 Building more complex axes
\n14.6a Tick marks
\n14.6b Axes with dates or times
\n14.7 Ad-hoc text<\/p>\n

Chapter 15 R graphics III: The fun stuff–Shapes<\/h2>\n

15.1 Doing colors
\n15.1a Specifying colors
\n15.1b Colors and transparency
\n15.2 Custom points
\n15.2a Connecting the dots
\n15.2b Plotting with symbols()
\n15.3 Adding lines
\n15.3a Basic lines
\n15.3b Line segments
\n15.3c Arrows
\n15.3d Grid lines
\n15.4 Shapes
\n15.5 Incorporating images into plots
\n15.6 A final word about aesthetics<\/p>\n

Chapter 16 From here to where?<\/h2>\n

Appendix I Installing R and related programs<\/h2>\n

AI.1 Installing R plain and simple
\nAI.2 R extras
\nAI.3 Startup configuration for R
\nAI.4 R packages
\nAI.5 Updating R
\nAI.6 Running R and RStudio from a USB key<\/p>\n

Appendix II Statistical commands<\/h2>\n

AII.1 Univariate descriptive statistics
\nAII.2 Univariate data visualization
\nAII.3 Bivariate descriptives: Measures of association
\nAII.4 Hypothesis testing
\nAII.5 Cross tabulation
\nAII.6 ANOVA
\nAII.7 Linear regression<\/p>\n

Appendix III R packages<\/h2>\n

AIII.1 Data management packages
\nAIII.2 Graphics packages
\nAIII.3 Miscellaneous packages<\/p>\n

Appendix IV Some style guidelines<\/h2>\n

AIV.1 Modularity and program structure
\nAIV.2 Argument identification
\nAIV.3 Comments
\nAIV.4 White space: Blank lines and indentation
\nAIV.5 Placement of parentheses and braces
\nAIV.6 Naming conventions
\nAIV.7 The bottom line: Clarity and replicability<\/p>\n

References<\/p>\n

Data Sources<\/p>\n

Subjext Index<\/p>\n

Index of R Commands<\/p>\n","protected":false},"excerpt":{"rendered":"

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